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Dynamic Pricing and Automated Resource Allocation for Complex Information Services
Reinforcement Learning and Combinatorial Auctions
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Many firms provide their customers with online information products which require limited resources such as server capacity. This book develops allocation mechanisms that aim to ensure an efficient resource allocation in modern IT-services. Recent methods of artificial intelligence, such as neural networks and reinforcement learning, and nature-oriented optimization methods, such as genetic algorithms and simulated annealing, are advanced and applied to allocation processes in distributed IT-infrastructures, e.g. grid systems. The author presents two methods, both of which using the users??? willingness-to-pay to control the allocation process: The first approach uses a yield management method that tries to learn an optimal acceptance strategy for resource requests. The second method is a combinatorial auction able to deal with resource complementarities. The author finally generates a method to calculate dynamic resource prices, marking an important step towards the industrialization of grid systems.
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Springer-Verlag Berlin and Heidelberg GmbH & Co. KG; April 2007
304 pages; ISBN 9783540680024
Read online, or download in secure PDF format
304 pages; ISBN 9783540680024
Read online, or download in secure PDF format
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3540680039
9783540680024
9783540680031